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README.md

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----
-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- Eagle
+- VLM
+---
+
+# Eagle Model Card
+
+## Model details
+
+**Model type:**
+Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs. It presents a thorough exploration to strengthen multimodal LLM perception with a mixture of vision encoders and different input resolutions. The model contains a channel-concatenation-based "CLIP+X" fusion for vision experts with different architectures (ViT/ConvNets) and knowledge (detection/segmentation/OCR/SSL). The resulting family of Eagle models support up to over 1K input resolution and obtain strong results on multimodal LLM benchmarks, especially resolution-sensitive tasks such as optical character recognition and document understanding.
+
+
+**Paper or resources for more information:**
+https://github.com/NVlabs/Eagle
+
+```
+```
+
+## License
+- The code is released under the Apache 2.0 license as found in the [LICENSE](./LICENSE) file.
+- The pretrained weights are released under the [CC-BY-NC-SA-4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
+- The service is a research preview intended for non-commercial use only, and is subject to the following licenses and terms:
+    - [Model License](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) of LLaMA
+    - [Terms of Use](https://openai.com/policies/terms-of-use) of the data generated by OpenAI
+    - [Dataset Licenses](https://github.com/Efficient-Large-Model/VILA/blob/main/data_prepare/LICENSE) for each one used during training.
+
+**Where to send questions or comments about the model:**
+https://github.com/NVlabs/Eagle/issues
+
+